Researchers from MIT developed a new machine-learning framework to predict phonon dispersion relations 1,000 times faster than other AI-based techniques, aiding in designing more efficient power generation systems and microelectronics. This breakthrough could potentially be 1 million times faster than traditional non-AI approaches, addressing the challenge of managing heat for increased efficie...
CMA to probe Microsoft's hiring of Inflection's top staff. Mustafa Suleyman and team join Microsoft's new AI division, sparking investigation.
Designing a multi-account strategy on AWS is crucial for secure scalability. Implementing a structured approach can help govern ML workloads effectively, enhance security, and streamline operations.
HuggingFace's large language model libraries simplify text summarization. Warren Buffet's views on wealth inequality and market specialization are thought-provoking.
Tony Blair's thinktank consults ChatGPT on AI's impact on public sector jobs. Critics question the validity of results and the £4bn annual cost estimate for AI implementation in the government.
The NVIDIA NeMo Framework simplifies distributed training of large language models, optimizing for efficiency and scalability. Amazon EKS is recommended for managing NVIDIA NeMo, offering robust integrations and performance features for running training workloads.
AI bias in medical AI can lead to disparities in healthcare outcomes. Data scientists must mitigate bias in training sets to ensure fair predictions across all groups.
Mixbook, the #1 rated photo book service in the US, used AWS to personalize photo book experiences with generative AI. Mixbook Smart Captions creatively interprets user photos, enhancing storytelling and making memories effortlessly.
Using a GloVe embedding-based algorithm, achieve 100% accuracy in the game "Codenames" by automating the roles of spymaster and operative. Representing word meaning with pre-trained GloVe embeddings to maximize accuracy in decoding clues and choosing words efficiently.
AI Recommendation Systems excel at suggesting similar products, but struggle with complementary ones. The zeroCPR framework offers an affordable solution for discovering complementary products using LLM technology.
A project using UCI Email Spam Dataset with 4,601 rows and 57 columns of predictor values. Utility program fetches test data for machine learning programs.
VerifAI project, funded by the EU, creates a unique generative search engine for biomedical domain using LLMs. Focus on hallucination detection sets it apart from other RAG-based products, addressing the issue of misleading text.
Artificial intelligence companies aim to achieve great feats, but the energy needed threatens environmental goals. Can AI's energy problem be solved in time? Hear from the Guardian's Jillian Ambrose and Alex Hern.
Quantile forecasting predicts distribution extremes for better decision-making in sectors like finance and supply chain management. Tensorflow, NeuralForecast, and Zero-shot LLMs offer advanced models for precise quantile estimates, enhancing operational efficiency.
Researchers from MIT and the MIT-IBM Watson AI Lab developed a technique to estimate the reliability of foundation models, like ChatGPT and DALL-E, before deployment. By training a set of slightly different models and assessing consistency, they can rank models based on reliability scores for various tasks.